Please note that the recommended version of Scilab is 6.1.1. This page might be outdated.

However, this page did not exist in the previous stable version.

# coding_ga_binary

A function which performs conversion between binary and continuous representation

### Syntax

pop_out = coding_ga_binary(pop_in,direction,param)

### Arguments

- pop_in
a list which contains all the individuals in the current population.

- direction
'code' or 'decode'. If direction == 'code' then we perform a continuous to binary encoding. Else, we convert from binary to continuous.

- param
a parameter list.

'binary_length': the number of bits by variables. If binary_length = 8 and the variable X is of dimension 2 then the binary code will be 16 bits length.

'minboun': a vector of minimum bounds for the variable X.

'maxbound': a vector of maximum bounds for the variable X.

- pop_out
the population coded to binary or decoded to continuous values.

### Description

This function allows to code or decode a population of individuals from (resp. to) continuous variables to (resp. from) binary.

### Examples

pop_in = list(); pop_in(1) = 2; pop_out = coding_ga_binary(pop_in,'code',[]) // Will return 11111111 pop_in_2 = coding_ga_binary(pop_out,'decode',[]) // Should be 2

### See also

- optim_ga — A flexible genetic algorithm
- mutation_ga_binary — A function which performs binary mutation
- crossover_ga_binary — A crossover function for binary code

## Comments

Add a comment:Please login to comment this page.